US2020285786A1PendingUtilityA1

Calculation method and calculation circuit of machine entropy, method and electronic system for implementing time cognition

Assignee: BOE TECHNOLOGY GROUP CO LTDPriority: Jan 17, 2018Filed: Nov 14, 2018Published: Sep 10, 2020
Est. expiryJan 17, 2038(~11.5 yrs left)· nominal 20-yr term from priority
Inventors:Liming Xiu
G06F 30/20G01R 19/17G01R 31/36G01R 31/00G01R 19/00G06N 3/008G06F 30/30G06F 1/04
45
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Claims

Abstract

A calculation method of a machine entropy, a calculation circuit of a machine entropy, a method for implementing time cognition, and an electronic system for implementing time cognition are disclosed. The calculation method of a machine entropy includes: monitoring electrical signals of the electronic system; and calculating the machine entropy, the machine entropy being a sum of change times of characteristic parameters of the electrical signals.

Claims

exact text as granted — not AI-modified
1 . A calculation method of a machine entropy for an electronic system, comprising:
 monitoring electrical signals of the electronic system; and   calculating the machine entropy, the machine entropy being a sum of change times of characteristic parameters of the electrical signals.   
     
     
         2 . The calculation method of the machine entropy according to  claim 1 , wherein the electrical signals comprise all electrical signals in the electronic system, and the machine entropy is a sum of change times of characteristic parameters of the all electrical signals. 
     
     
         3 . The calculation method of the machine entropy according to  claim 1 , wherein the electrical signals comprise electrical signals, corresponding to a proportion that is not less than a certain predetermined proportion, in the electronic system. 
     
     
         4 . The calculation method of the machine entropy according to  claim 1 , wherein the machine entropy is directly proportional to a total amount of information processed by the electronic system, to a wear degree of the electronic system, and to a total amount of energy consumed by the electronic system. 
     
     
         5 . The calculation method of the machine entropy according to  claim 1 , wherein for each of the electrical signals, a case where a change value of an amplitude of a characteristic parameter of each of the electrical signals meets a predetermined threshold range indicates that a change in the characteristic parameter has occurred one time. 
     
     
         6 . The calculation method of the machine entropy according to  claim 5 , wherein a case where the amplitude of the characteristic parameter rises from a first threshold to a second threshold or drops from the second threshold to the first threshold indicates that the change in the characteristic parameter has occurred one time. 
     
     
         7 . The calculation method of the machine entropy according to  claim 1 , wherein the characteristic parameters of the electrical signals comprise at least one of voltages of the electrical signals or currents of the electrical signals. 
     
     
         8 . A method for implementing time cognition in an electronic system, comprising:
 calculating a machine entropy in the electronic system, which comprises: monitoring electrical signals in the electronic system, and calculating the machine entropy, the machine entropy being a sum of change times of characteristic parameters of the electrical signals; and   indicating a direction of time movement by using a direction in which the machine entropy changes.   
     
     
         9 . The method for implementing time cognition according to  claim 8 , wherein each value of the machine entropy represents a moment on a timeline. 
     
     
         10 . The method for implementing time cognition according to  claim 8 , wherein a direction in which the machine entropy increases represents a direction in which time moves forward. 
     
     
         11 . The method for implementing time cognition according to  claim 8 , wherein a current value of the machine entropy represents “present”,
 based on the current value, a direction in which the machine entropy decreases represents “past”, and a direction in which the machine entropy increases represents “future”. 
 
     
     
         12 - 14 . (canceled) 
     
     
         15 . The method for implementing time cognition according to  claim 8 , wherein for each of the electrical signals, a case where a change value of an amplitude of a characteristic parameter of each of the electrical signals meets a predetermined threshold range indicates that a change in the characteristic parameter has occurred one time. 
     
     
         16 . The method for implementing time cognition according to  claim 15 , wherein for each of the electrical signals, a case where the amplitude of the characteristic parameter of each of the electrical signals rises from a first threshold to a second threshold or drops from the second threshold to the first threshold indicates that the change in the characteristic parameter has occurred one time. 
     
     
         17 . (canceled) 
     
     
         18 . A calculation circuit of a machine entropy, comprising:
 a monitoring sub-circuit, configured to monitor electrical signals in an electronic system; and   a calculation sub-circuit, configured to calculate the machine entropy, the machine entropy being a sum of change times of characteristic parameters of the electrical signals.   
     
     
         19 - 21 . (canceled) 
     
     
         22 . The calculation circuit of the machine entropy according to  claim 18 , wherein for each of the electrical signals, a case where a change value of an amplitude of a characteristic parameter of each of the electrical signals meets a predetermined threshold range indicates that a change in the characteristic parameter has occurred one time. 
     
     
         23 . The calculation circuit of the machine entropy according to  claim 22 , wherein a case where the amplitude of the characteristic parameter rises from a first threshold to a second threshold or drops from the second threshold to the first threshold indicates that the change in the characteristic parameter has occurred one time. 
     
     
         24 . An electronic system for implementing time cognition, comprising:
 the calculation circuit of the machine entropy according to  claim 18 ; and   a time indicating circuit, configured to indicate a direction of time movement by using a direction in which the machine entropy changes.   
     
     
         25 . The electronic system according to  claim 24 , wherein each value of the machine entropy represents a moment on a timeline. 
     
     
         26 . The electronic system according to  claim 24 , wherein a direction in which the machine entropy increases represents a direction in which time moves forward. 
     
     
         27 . The electronic system according to  claim 24 , further comprising:
 a space cognition circuit, configured to achieve space cognition of the electronic system;   a clock generation circuit, configured to generate a clock signal to establish an operating order of the electronic system; and   a timing circuit, configured to measure or control a length of an event occurring within the electronic system, wherein the length is calibrated by using the clock signal.

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